A novel-eye-tracking sensor for AR glasses based on laser self-mixing showing exceptional robustness against illumination

Johannes Meyer, Thomas Schlebusch, Hans Spruit, Jochen Hellmig, Enkelejda Kasneci

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

9 Scopus citations

Abstract

The integration of eye-tracking sensors in next-generation AR glasses will increase usability and enable new interaction concepts. Consumer AR glasses emphasize however additional requirements to eye-tracking sensors, such as high integratability and robustness to ambient illumination. We propose a novel eye-tracking sensor based on the self-mixing interference (SMI) effect of lasers. In consequence, our sensor as small as a grain of sand shows exceptional robustness against ambient radiation compared to conventional camera-based eye trackers. In this paper, we evaluate ambient light robustness under different illumination conditions for video-based oculography, conventional scanned laser eye tracking as well as the SMI-based sensor.

Original languageEnglish
Title of host publicationProceedings ETRA 2020 Short Papers - ACM Symposium on Eye Tracking Research and Applications, ETRA 2020
EditorsStephen N. Spencer
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450371346
DOIs
StatePublished - 6 Feb 2020
Externally publishedYes
Event2020 ACM Symposium on Eye Tracking Research and Applications, ETRA 2020 - Stuttgart, Germany
Duration: 2 Jun 20205 Jun 2020

Publication series

NameEye Tracking Research and Applications Symposium (ETRA)

Conference

Conference2020 ACM Symposium on Eye Tracking Research and Applications, ETRA 2020
Country/TerritoryGermany
CityStuttgart
Period2/06/205/06/20

Keywords

  • AR glasses
  • Low power eye-tracking
  • Scanned laser eye-tracking
  • Self-mixing-interference (SMI) sensor

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